113 web-programmer-developer-"https:"-"UCL"-"P"-"Fraunhofer-Gesellschaft"-"https:" positions at MOHAMMED VI POLYTECHNIC UNIVERSITY
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of Artificial Intelligence (AI) in Chemical Process Systems Engineering (CPSE). The position addresses key challenges in process intensification, sustainability, and advanced process control, aiming to develop AI
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, Master and PhD levels to establish a vibrant program of teaching at the interface between geology and mineral resources. Experience in the acquisition and/or management of third-party funded projects along
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based on the highest standards of teaching and research in fields related to the sustainable economic development of Morocco and Africa. UM6P is an institution oriented towards applied research and
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to contribute to the development of Morocco and the African continent. Its vision is honed around research and innovation at the service of education and development. This unique nascent university, with its
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position is part of a collaborative research initiative between the Materials and Systems for Nanotechnologies (MSN) and Chemical C Computational (CC) teams at UM6P. The work aims to develop robust
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Abstract: This position focuses on the development of intelligent and autonomous drone systems, integrating AI, edge computing, and digital twin technologies for mission autonomy and predictive
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engaged in economic and human development and puts research and innovation at the forefront of African development. A mechanism that enables it to consolidate Morocco's frontline position in these fields
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international standards, is established to contribute to the development of Morocco and the African continent. Its vision is honed around research and innovation at the service of education and development
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Location: ACME, UM6P campus, Nouaceur Report to: Technical Manager / General Manager Entity: Africa Center of Manufacturing Excellence (ACME) is a Technology development platform focused on Advanced
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SUSMAT-RC - Postdoc Position in Computer-Aided Design and Discovery of Sustainable Polymer Materials
candidate will work on an exciting project focused on extracting and analyzing experimental and computational data to develop predictive models for polymer-based materials. This project aims to leverage